Update README.md

README.md

@@ -27,9 +27,9 @@ Good at solving text summarization tasks, Chinese PAGASUS-base.
 
 参考论文：[PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization](https://arxiv.org/pdf/1912.08777.pdf)
 
-为了解决中文的自动摘要任务，我们遵循PEGASUS的设计来训练中文的版本。我们使用了悟道语料库(180G版本)作为预训练数据集。此外，考虑到中文sentence piece不稳定，我们在Randeng-PEGASUS中同时使用了结巴分词和BERT分词器。我们也提供large的版本：[IDEA-CCNL/Randeng-Pegasus-523M-Chinese](https://huggingface.co/IDEA-CCNL/Randeng-Pegasus-523M-Chinese)。
+为了解决中文的自动摘要任务，我们遵循PEGASUS的设计来训练中文的版本。我们使用了悟道语料库(180G版本)作为预训练数据集。此外，考虑到中文sentence piece不稳定，我们在Randeng-PEGASUS中同时使用了结巴分词和BERT分词器。我们也提供large的版本：[IDEA-CCNL/Randeng-Pegasus-523M-Chinese](https://huggingface.co/IDEA-CCNL/Randeng-Pegasus-523M-Chinese)。以及，我们也提供了在中文摘要数据集上微调的版本：[Randeng-Pegasus-238M-Summary-Chinese](https://huggingface.co/IDEA-CCNL/Randeng-Pegasus-238M-Summary-Chinese)。
 
-To solve Chinese abstractive summarization tasks, we follow the PEGASUS guidelines. We employ a version of WuDao Corpora (180 GB version) as a pre-training dataset. In addition, considering that the Chinese sentence chunk is unstable, we utilize jiebaand BERT tokenizer in our Randeng-PEGASUS. We also provide a large size version, available with [IDEA-CCNL/Randeng-Pegasus-523M-Chinese](https://huggingface.co/IDEA-CCNL/Randeng-Pegasus-523M-Chinese)
+To solve Chinese abstractive summarization tasks, we follow the PEGASUS guidelines. We employ a version of WuDao Corpora (180 GB version) as a pre-training dataset. In addition, considering that the Chinese sentence chunk is unstable, we utilize jiebaand BERT tokenizer in our Randeng-PEGASUS. We also provide a large size version, available with [IDEA-CCNL/Randeng-Pegasus-523M-Chinese](https://huggingface.co/IDEA-CCNL/Randeng-Pegasus-523M-Chinese). And, we also provide a version after fine-tuning on Chinese text summarization datasets: [Randeng-Pegasus-238M-Summary-Chinese](https://huggingface.co/IDEA-CCNL/Randeng-Pegasus-238M-Summary-Chinese).
 
 ## 使用 Usage